- 0
- Bedrooms
- 0
- Baths
- 0 m²
- Area
- Villa
- Type
- Pattaya
- City
Sale price
THB 29,600 / m²
Description
2-Storey House in Soi Nern Plub Wan – Prime Location in Central Pattaya
Property Details
Land Size: 56 sq.wah (224 sq.m.)
Usable Area: 200 sq.m.
Layout: 3 Bedrooms, 2 Bathrooms, 1 Workshop, 1 Kitchen, 1 Living Room, 2nd-Floor Balcony
Air Conditioners: 3 Units (2 in bedrooms, 1 in the downstairs living room)
Parking Space: 2 cars inside the house, up to 3 cars in front of the house
Location Highlights
Prime location in the heart of Pattaya, at the beginning of the soi, close to Sukhumvit Road
Located next to Chao Sua Market, 7-Eleven, and right on the Railway Road
Unbeatable convenience, surrounded by major shopping malls: Central Pattaya, Terminal 21, Little Walk, Harbor Mall, and multiple Big C and Lotus’s branches
Sale Price
4,440,000 THB
CP1561
Detailed features
- Type
- Villa
- Category
- Pool Villa
- Transaction
- Sale
- Bedrooms
- 3
- Bathrooms
- 2
- Living area
- 150 m²
- Land area
- 224 m²
- Floor
- 2
- Ownership
- Freehold (Thai name)
- Views
- City
- Furnishing
- Furnished
Amenities & features
- Climatisation
- Car park
- Electricity
- Equipped kitchen
- Heating
- Internet
- Service room
- Water
- Water tank
Location & surroundings
Approximate area location — the exact address is shared during the viewing.
Request the exact locationYield calculator (ROI)
Mortgage simulator
Frequently asked questions
What is the price of "2-Storey House in Soi Nern Plub Wan – Great Location & Convenience"?
The current price is 4 440 000 THB (29 600 THB/m²). Contact us to negotiate or arrange a viewing.
What is the property's area?
This property is 150 m² with 3 bedrooms and 2 bathrooms.
How do I arrange a viewing?
Use the contact form on this page or click “Book a viewing”. We will call you back within 24 h to schedule the viewing (on site, by video or as a virtual tour).
Reviews of this property
The information shown on this page is provided for guidance only and does not constitute a contractual offer. Please verify the accuracy of the data with the agent in charge.
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